no code implementations • 21 May 2021 • Muhan Chen, Jiajia Guo, Chao-Kai Wen, Shi Jin, Geoffrey Ye Li, Ang Yang
By using environment information, the NNs can achieve a more refined mapping between the precoding matrix and the PMI compared with codebooks.
no code implementations • 26 Oct 2020 • Ang Yang
This thesis focuses on Bayesian optimization with the improvements coming from two aspects:(i) the use of derivative information to accelerate the optimization convergence; and (ii) the consideration of scalable GPs for handling massive data.
no code implementations • 21 Jun 2019 • Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
Since the balance between predictive mean and the predictive variance is the key determinant to the success of Bayesian optimization, the current sparse spectrum methods are less suitable for it.